International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
E-ISSN: 2349-7300Impact Factor - 9.907

A Widely Indexed Open Access Peer Reviewed Online Scholarly International Journal

Call for Paper Volume 14 Issue 1 January-February 2026 Submit your research for publication

Anti Scam Link Detector for WhatsApp Web Using Machine Learning and Heuristic Analysis

Authors: Karan Ganesh Aher, Vaibhav Ganesh Adhane, Bhakti Sunil Bhorkade, Kimaya Dilip Bagul

DOI: https://doi.org/10.37082/IJIRMPS.v13.i6.232868

Short DOI: https://doi.org/hbgrpv

Country: India

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Abstract: Phishing and scam links distributed through instant messaging platforms have become a major cybersecurity concern, especially on web-based clients such as WhatsApp Web. Attackers frequently exploit user trust by disguising malicious URLs as legitimate shopping, banking, or service links. This research paper presents an Anti-Scam Link Detector for WhatsApp Web, implemented as a Chrome browser extension integrated with a machine learning and heuristic-based backend system.

Keywords: Phishing Detection, WhatsApp Web Security, Machine Learning, Chrome Extension, URL Analysis


Paper Id: 232868

Published On: 2025-12-23

Published In: Volume 13, Issue 6, November-December 2025

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